AWS Certified Solutions Architect – Associate Exam (SAA-C03) - AWS Actual Exam Questions
Last updated on April 11, 2026
A company hosts an industrial control application that receives sensor input through Amazon Kinesis Data Streams. The application needs to support new sensors for real-time anomaly detection in monitored equipment. The company wants to integrate new sensors in a loosely-coupled, fully managed, and serverless way. The company cannot modify the application code. Which solution will meet these requirements?
Forward the existing stream in Kinesis Data Streams to Amazon Managed Service for Apache Flink for anomaly detection. Use a second stream in Kinesis Data Streams to send the Flink output to the application.
Use Amazon Data Firehose to stream data to Amazon S3. Use Amazon Redshift Spectrum to perform anomaly detection on the S3 data. Use S3 Event Notifications to invoke an AWS Lambda function that sends analyzed data to the application through a second stream in Kinesis Data Streams.
Configure Amazon EC2 instances in an Auto Scaling group to consume data from the data stream and to perform anomaly detection. Create a second stream in Kinesis Data Streams to send data from the EC2 instances to the application.
Configure an Amazon Elastic Container Service (Amazon ECS) task that uses Amazon EC2 instances to consume data from the data stream and to perform anomaly detection. Create a second stream in Kinesis Data Streams to send data from the containers to the application.
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A company runs an application as a task in an Amazon Elastic Container Service (Amazon ECS) cluster. The application must have read and write access to a specific group of Amazon S3 buckets. The S3 buckets are in the same AWS Region and AWS account as the ECS cluster. The company needs to grant the application access to the S3 buckets according to the principle of least privilege. Which combination of solutions will meet these requirements? (Select TWO.)
Add a tag to each bucket. Create an IAM policy that includes a StringEquals condition that matches the tags and values of the buckets.
Create an IAM policy that lists the full Amazon Resource Name (ARN) for each S3 bucket.
Attach the IAM policy to the instance role of the ECS task.
Create an IAM policy that includes a wildcard Amazon Resource Name (ARN) that matches all combinations of the S3 bucket names.
Attach the IAM policy to the task role of the ECS task.
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A solutions architect is creating a data processing job that runs once daily and can take up to 2 hours to complete. If the job is interrupted, it has to restart from the beginning. How should the solutions architect address this issue in the MOST cost-effective manner?
Create a script that runs locally on an Amazon EC2 Reserved Instance that is triggered by a cron job.
Create an AWS Lambda function triggered by an Amazon EventBridge scheduled event.
Use an Amazon Elastic Container Service (Amazon ECS) Fargate task triggered by an Amazon EventBridge scheduled event.
Use an Amazon Elastic Container Service (Amazon ECS) task running on Amazon EC2 triggered by an Amazon EventBridge scheduled event.
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A company has a large data workload that runs for 6 hours each day. The company cannot lose any data while the process is running. A solutions architect is designing an Amazon EMR cluster configuration to support this critical data workload. Which solution will meet these requirements MOST cost-effectively?
Configure a long-running cluster that runs the primary node and core nodes on On-Demand Instances and the task nodes on Spot Instances.
Configure a transient cluster that runs the primary node and core nodes on On-Demand Instances and the task nodes on Spot Instances.
Configure a transient cluster that runs the primary node on an On-Demand Instance and the core nodes and task nodes on Spot Instances.
Configure a long-running cluster that runs the primary node on an On-Demand Instance, the core nodes on Spot Instances, and the task nodes on Spot Instances.
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A company needs to collect streaming data from several sources and store the data in the AWS Cloud. The dataset is heavily structured, but analysts need to perform several complex SQL queries and need consistent performance. Some of the data is queried more frequently than the rest. The company wants a solution that meets its performance requirements in a cost-effective manner. Which solution meets these requirements?
Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data to save it to Amazon S3. Use Amazon Athena to perform SQL queries over the ingested data.
Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads.
Use Amazon Data Firehose to ingest the data to save it to Amazon Redshift. Enable Amazon Redshift workload management (WLM) to prioritize workloads.
Use Amazon Data Firehose to ingest the data to save it to Amazon S3. Load frequently queried data to Amazon Redshift using the COPY command. Use Amazon Redshift Spectrum for less frequently queried data.
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